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Pedro Rodriguez commented on SPARK-5556: ---------------------------------------- Based on initial testing, I recall FastLDA in practice being O(1), should be able to confirm that at a larger scale test soon. LightLDA definitely worth looking into I think, at this point though my focus is on getting the FastLDA Gibbs to a mergable state (tests pass, refactoring/api for LDA is good, and performs at scale as good as or better than EM). > Latent Dirichlet Allocation (LDA) using Gibbs sampler > ------------------------------------------------------ > > Key: SPARK-5556 > URL: https://issues.apache.org/jira/browse/SPARK-5556 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Guoqiang Li > -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org